Angel M. Villegas-Cruz
08/18/2024

Replication file for "Communicating state repression to the international community: A case study of how China frames its policies in Xinjiang online"

As per FPA Replication Policy, the authors must submit the dataset, commands (dofile/scripts), log-file of results, and a readme.txt file that explains the steps to replicate the empirical results in the manuscript.

My replication folder includes datasets, R scripts, log file of results (.RData and .Rhistory files), and a readme.txt file.

Start with "Replication - Main results.R"

The main dataset is called "mydata_final.csv".

In the manuscript, the main results are Figures 4 and 5.
-- Figure 4: Odds ratio of a logit model using the threat strategy as a dependent variable (Model 1)
-- Figure 5: Odds ratio of a logit model using the benevolent rule strategy as a dependent variable (Model 2)

These figures are odd ratio plots based on the regression table in Appendix Table 1.
-- Appendix Table 1: Logistic regression models estimating the effects of recipient characteristics on repression image management strategies

You can run the other scripts after running "Replication - Main results.R". I suggest running them in the following order:

"Replication - Descriptive Stats.R" replicates the descriptive statistics in Appendix Table 2.
-- Appendix Table 2: Summary statistics of dependent and independent variables in Appendix Tables 1

"Replication - Maps.R" replicates the heatmaps, namely Figure 3, and Appendix Figures 3 and 4.
-- Figure 3: Chinese diplomatic missions using Twitter by country
-- Appendix Figure 3: Chinese diplomatic missions using the threat strategy by country
-- Appendix Figure 4: Chinese diplomatic missions using the benevolent rule strategy by country

"Replication - Table 2.R" produces Table 2 in latex used in the main manuscript.
-- Table 2: Top 20 terms associated with each dependent variable ordered by Fightin’ Words statistic (Monroe, et al. 2008)

"Replication - Robust.R" replicates the regression tables used as robustness checks in the appendix, namely Appendix Tables 3-8
-- Appendix Table 3: Robustness check with continuous variables for battle-related deaths and Muslim countries
-- Appendix Table 4: Negative binomial regression models estimating the effects of recipient characteristics on repression image management strategies (Monthly data)
-- Appendix Table 5: Chinese diplomatic missions using Twitter by country in the dataset
-- Appendix Table 6: Logistic regression models estimating the effects of recipient characteristics on repression image management strategies (with V-Dem’s Electoral Democracy Index)
-- Appendix Table 7: Seemingly unrelated regression models estimating the effects of recipient characteristics on repression image management strategies
-- Appendix Table 8: Logistic regression models estimating the effects of recipient characteristics on repression image management strategies (Controlling for diverse strategies)

"Replication - Numbers in text.R" replicates the numbers used in the main manuscript